A Privacy-Preserving Personalized Web Search Framework Ups To Generalize Profiles According To User-Specified Privacy Requirements
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2015, Vol 4, Issue 8
Abstract
Personalized web search (PWS) is a universal group of search techniques aim at as long as better search results which are adapted for individual user needs. As the expense user information has to be together and analyzed to figure out the user meaning at the back the issued query. The answer to PWS can usually be categorized into two type’s namely click-log-based methods and profile-based ones. The click-log based methods are simple. They just inflict prejudice to clack pages in the user’s query history. Although this plan has been established to carry out time after time and significantly well . It can only employment on frequent queries from the same user which is a burly restraint imprisoned its applicability. In contrast profile-based methods pick up the search experience with complicated user-interest models generated from user profiling techniques. Profile-based methods can be potentially effective for almost all sorts of queries but are reported to be rickety under some conditions.
Authors and Affiliations
V. Gangaraju, K. Arunabhaskar
Keywords
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